Microsoft Azure AI Engineer Associate AI-102 Practice Question

You are creating a project in Azure AI Foundry. The project must 1) expose an existing private Azure OpenAI gpt-35-turbo deployment, 2) hold a refreshable, managed vector index of the product catalog, and 3) let prompt-flow authors use both services without coding secrets. Which resources should you add?

  • Add the existing Azure OpenAI resource and create a new Vector Index resource in the project.

  • Create new Azure Cosmos DB for NoSQL and store the embeddings there, then reference it from prompt flow.

  • Add the existing Azure OpenAI resource and link an Azure Key Vault that stores the vector index connection string.

  • Use Azure App Configuration to store both the OpenAI endpoint and the product catalog embeddings connection.

Microsoft Azure AI Engineer Associate AI-102
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